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207 tools · 25 stacks

AI tools are all over the place. This is the full landscape — 207 tools across 17 categories, mapped and connected. Ready to narrow it down? Build your stack →

Team size

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What are you building and how is it defined?
How do you write and ship code?
How does your AI think and act?
Which models and infrastructure power it?
How do you build, observe, and extend it?
These tools competes with
Langfuse
vs
MLflow

Choose Langfuse when…

  • •You want open-source LLM observability
  • •Self-hosting your tracing stack is important
  • •You need cost tracking across models and users

Choose MLflow when…

  • •already using MLflow for ML experiments and want LLM tracking too
  • •running on Databricks and want native platform observability
  • •need unified tracking for both traditional ML and LLM workloads
Field
Langfuse
MLflow
Category
LLM Infrastructure
observability
Type
OSS
OSS
Free Tier
✓ Yes
✓ Yes
Plans
Cloud: $59/mo
Open Source: FreeDatabricks Managed: Included with Databricks
Stars
⭐ 7,000
⭐ 19,800
Health
●80 — Active
●75 — Active
Trajectory
— not enough data
— not enough data
Synced
today
8 days ago

Langfuse

Open-source platform for tracing, evaluations, and prompt management. Self-hostable alternative to LangSmith with clean UX.

MLflow

MLflow is an open-source platform for managing the full ML lifecycle, now extended with native LLM tracking and tracing. It captures prompts, responses, latency, and costs in MLflow Tracing, integrates with LangChain and OpenAI, and provides a unified experiment UI.

Langfuse Website ↗GitHub ↗
MLflow Website ↗GitHub ↗

Only Langfuse (28)

CursorCrewAIAutoGenLangGraphLangChainLlamaIndexDifyMastra

Only MLflow (1)

Langfuse
See full comparison in Explore →